Industry overview
Education & Research expansion decisions depend on more than one headline metric. A company needs to know whether a county has the right workforce, customer access, supplier base, real estate conditions, wage structure, and public-sector environment. LocalEconomyData scores counties for this industry using a structured industry-fit value, but the score is best understood as a screening tool that helps users decide where to investigate first.
In the DC, Maryland, and Virginia region, county choice can change the economics and risk profile of the same company. A close-in county may offer better client access and executive talent but higher wages and real estate costs. An outer county may offer more space and cost flexibility but require a stronger recruiting and commute strategy. This guide explains which counties rank well, why they rank well, and what tradeoffs businesses should validate before choosing a location.
What matters for Education & Research
For Education & Research, the most important questions are whether the county can support specialized hiring, whether the cost structure fits the business model, whether customers or partners are reachable, and whether the county's existing industry base creates practical advantages. A score can highlight likely fit, but a company should still confirm occupation-level labor data, facility availability, permitting timelines, infrastructure capacity, and incentives.
Companies should also look at resilience. Counties with only one advantage can be fragile if costs rise or a single customer relationship changes. Stronger expansion markets tend to combine several advantages: workforce depth, education, related employers, transportation access, and a credible path to scaling over time.
Ranked county table
| Rank | County | Education & Research score | Best uses |
|---|---|---|---|
| #1 | Fairfax County, Virginia | 78 | Federal contracting, Software, Cybersecurity |
| #2 | Wake County, North Carolina | 77 | Software & AI, Life sciences, Professional services |
| #3 | Los Angeles County, California | 77 | Software & AI, Life sciences, Logistics |
| #4 | San Diego County, California | 77 | Software & AI, Life sciences, Logistics |
| #5 | Snohomish County, Washington | 77 | Software & AI, Life sciences, Logistics |
| #6 | Multnomah County, Oregon | 77 | Software & AI, Life sciences, Logistics |
| #7 | Washington County, Oregon | 77 | Software & AI, Life sciences, Logistics |
| #8 | Orange County, California | 76 | Software & AI, Life sciences, Logistics |
| #9 | Philadelphia County, Pennsylvania | 75 | Healthcare, Life sciences, Professional services |
| #10 | Alameda County, California | 75 | Software & AI, Life sciences, Logistics |
| #11 | Montgomery County, Maryland | 74 | Life sciences, Professional services, Healthcare |
| #12 | King County, Washington | 74 | Software & AI, Life sciences, Logistics |
| #13 | Mecklenburg County, North Carolina | 72 | Finance, Software & AI, Logistics |
| #14 | Santa Clara County, California | 72 | Software & AI, Life sciences, Logistics |
| #15 | District of Columbia, District of Columbia | 71 | Federal government, Professional services, Policy |
| #16 | Fairfield County, Connecticut | 71 | Professional services, Healthcare, Finance |
| #17 | Montgomery County, Pennsylvania | 67 | Life sciences, Professional services, Healthcare |
| #18 | Tarrant County, Texas | 67 | Energy & Infrastructure, Logistics, Software & AI |
| #19 | Bexar County, Texas | 67 | Energy & Infrastructure, Logistics, Software & AI |
| #20 | Harris County, Texas | 66 | Energy & Infrastructure, Logistics, Software & AI |
| #21 | Dallas County, Texas | 66 | Energy & Infrastructure, Logistics, Software & AI |
| #22 | Kings County, New York | 66 | Professional services, Healthcare, Finance |
| #23 | Erie County, New York | 66 | Professional services, Healthcare, Finance |
| #24 | Monroe County, New York | 66 | Professional services, Healthcare, Finance |
| #25 | Arlington County, Virginia | 65 | Federal contracting, Software, Professional services |
| #26 | Travis County, Texas | 65 | Energy & Infrastructure, Logistics, Software & AI |
| #27 | Collin County, Texas | 65 | Energy & Infrastructure, Logistics, Software & AI |
| #28 | Prince George's County, Maryland | 63 | Logistics, Healthcare, Federal facilities |
| #29 | Middlesex County, Massachusetts | 63 | Professional services, Healthcare, Finance |
| #30 | Suffolk County, Massachusetts | 63 | Professional services, Healthcare, Finance |
| #31 | Baltimore County, Maryland | 61 | Healthcare, Education, Logistics |
| #32 | Gwinnett County, Georgia | 61 | Logistics, Healthcare, Professional services |
| #33 | Howard County, Maryland | 60 | Professional services, Software, Healthcare |
| #34 | Loudoun County, Virginia | 60 | Data centers, Software infrastructure, Federal contracting |
| #35 | Durham County, North Carolina | 60 | Life sciences, Software & AI, Healthcare |
| #36 | Chatham County, Georgia | 60 | Logistics, Healthcare, Professional services |
| #37 | Orange County, Florida | 60 | Logistics, Healthcare, Professional services |
| #38 | Hillsborough County, Florida | 60 | Logistics, Healthcare, Professional services |
| #39 | Duval County, Florida | 60 | Logistics, Healthcare, Professional services |
| #40 | Maricopa County, Arizona | 60 | Software & AI, Professional services, Logistics |
| #41 | Pima County, Arizona | 60 | Software & AI, Professional services, Logistics |
| #42 | Alexandria City, Virginia | 59 | Professional services, Federal support, Healthcare |
| #43 | Cobb County, Georgia | 59 | Logistics, Healthcare, Professional services |
| #44 | Miami-Dade County, Florida | 59 | Logistics, Healthcare, Professional services |
| #45 | Pinellas County, Florida | 59 | Logistics, Healthcare, Professional services |
| #46 | Arapahoe County, Colorado | 59 | Software & AI, Professional services, Logistics |
| #47 | Anne Arundel County, Maryland | 58 | Logistics, Federal facilities, Healthcare |
| #48 | Albemarle County, Virginia | 58 | Education & Research, Healthcare, Professional services |
| #49 | Charlottesville City, Virginia | 58 | Education & Research, Healthcare, Software & AI |
| #50 | Jefferson County, Colorado | 58 | Software & AI, Professional services, Logistics |
| #51 | Baltimore City, Maryland | 57 | Healthcare, Education, Port logistics |
| #52 | Bucks County, Pennsylvania | 57 | Manufacturing, Healthcare, Professional services |
| #53 | Fulton County, Georgia | 57 | Logistics, Healthcare, Professional services |
| #54 | Wayne County, Michigan | 57 | Advanced manufacturing, Logistics, Healthcare |
| #55 | Delaware County, Pennsylvania | 56 | Healthcare, Logistics, Professional services |
| #56 | Mercer County, New Jersey | 56 | Professional services, Life sciences, Government |
| #57 | Denver County, Colorado | 56 | Software & AI, Professional services, Logistics |
| #58 | Kent County, Michigan | 56 | Advanced manufacturing, Logistics, Healthcare |
| #59 | Franklin County, Ohio | 56 | Advanced manufacturing, Logistics, Healthcare |
| #60 | Cuyahoga County, Ohio | 56 | Advanced manufacturing, Logistics, Healthcare |
| #61 | Jackson County, Missouri | 56 | Advanced manufacturing, Logistics, Healthcare |
| #62 | New York County, New York | 56 | Professional services, Healthcare, Finance |
| #63 | Prince William County, Virginia | 55 | Logistics, Construction, Federal support |
| #64 | New Castle County, Delaware | 55 | Finance, Logistics, Life sciences |
| #65 | Cook County, Illinois | 55 | Advanced manufacturing, Logistics, Healthcare |
| #66 | Marion County, Indiana | 55 | Advanced manufacturing, Logistics, Healthcare |
| #67 | Richmond City, Virginia | 54 | Professional services, Finance, Healthcare |
| #68 | DuPage County, Illinois | 54 | Advanced manufacturing, Logistics, Healthcare |
| #69 | Henrico County, Virginia | 53 | Professional services, Logistics, Healthcare |
| #70 | Camden County, New Jersey | 53 | Healthcare, Logistics, Professional services |
| #71 | Hamilton County, Indiana | 53 | Advanced manufacturing, Logistics, Healthcare |
| #72 | Virginia Beach City, Virginia | 52 | Defense support, Healthcare, Professional services |
| #73 | Frederick County, Maryland | 51 | Life sciences, Advanced manufacturing, Logistics |
| #74 | Guilford County, North Carolina | 51 | Advanced manufacturing, Logistics, Healthcare |
| #75 | Chesterfield County, Virginia | 50 | Advanced manufacturing, Logistics, Healthcare |
| #76 | Stafford County, Virginia | 45 | Federal support, Logistics, Professional services |
| #77 | Norfolk City, Virginia | 45 | Defense support, Logistics, Healthcare |
| #78 | Harford County, Maryland | 44 | Defense support, Advanced manufacturing, Logistics |
| #79 | Carroll County, Maryland | 44 | Construction, Healthcare, Professional services |
| #80 | Roanoke City, Virginia | 44 | Healthcare, Logistics, Professional services |
| #81 | Charles County, Maryland | 43 | Federal support, Logistics, Healthcare |
| #82 | Roanoke County, Virginia | 43 | Healthcare, Logistics, Advanced manufacturing |
| #83 | Spotsylvania County, Virginia | 41 | Logistics, Healthcare, Construction |
| #84 | St. Mary's County, Maryland | 40 | Federal support, Defense aviation, Advanced manufacturing |
| #85 | Frederick County, Virginia | 40 | Logistics, Manufacturing, Professional services |
| #86 | Winchester City, Virginia | 40 | Healthcare, Logistics, Professional services |
| #87 | Queen Anne's County, Maryland | 39 | Logistics, Healthcare, Professional services |
| #88 | Calvert County, Maryland | 38 | Energy & Infrastructure, Healthcare, Federal support |
| #89 | Talbot County, Maryland | 38 | Healthcare, Tourism, Professional services |
| #90 | Washington County, Maryland | 37 | Logistics, Manufacturing, Healthcare |
| #91 | Wicomico County, Maryland | 37 | Healthcare, Food production, Logistics |
Top five counties
#1: Fairfax County, Virginia
Fairfax County scores 78 for Education & Research. Its main advantages include exceptional federal contracting ecosystem, large high-skill workforce, dulles corridor access. The county's top industries include Federal contracting, Software, Cybersecurity, Professional services, which helps explain why it appears near the top of this screening model.
For companies evaluating Fairfax County, the key tradeoff is whether its advantages justify its constraints: high labor and real estate costs and tight hiring market. A company should compare the county with nearby alternatives before treating the ranking as a final recommendation.
#2: Wake County, North Carolina
Wake County scores 77 for Education & Research. Its main advantages include research triangle talent depth, high-growth software and life sciences ecosystem, strong education signal. The county's top industries include Software & AI, Life sciences, Professional services, which helps explain why it appears near the top of this screening model.
For companies evaluating Wake County, the key tradeoff is whether its advantages justify its constraints: rising costs and housing pressure and competitive technical hiring. A company should compare the county with nearby alternatives before treating the ranking as a final recommendation.
#3: Los Angeles County, California
Los Angeles County scores 77 for Education & Research. Its main advantages include los angeles-long beach-anaheim market access, software & ai expansion relevance, county-level workforce and customer base. The county's top industries include Software & AI, Life sciences, Logistics, which helps explain why it appears near the top of this screening model.
For companies evaluating Los Angeles County, the key tradeoff is whether its advantages justify its constraints: local submarket conditions need verification and occupation-level hiring depth may vary. A company should compare the county with nearby alternatives before treating the ranking as a final recommendation.
#4: San Diego County, California
San Diego County scores 77 for Education & Research. Its main advantages include san diego-carlsbad market access, software & ai expansion relevance, county-level workforce and customer base. The county's top industries include Software & AI, Life sciences, Logistics, which helps explain why it appears near the top of this screening model.
For companies evaluating San Diego County, the key tradeoff is whether its advantages justify its constraints: local submarket conditions need verification and occupation-level hiring depth may vary. A company should compare the county with nearby alternatives before treating the ranking as a final recommendation.
#5: Snohomish County, Washington
Snohomish County scores 77 for Education & Research. Its main advantages include seattle-tacoma-bellevue market access, software & ai expansion relevance, county-level workforce and customer base. The county's top industries include Software & AI, Life sciences, Logistics, which helps explain why it appears near the top of this screening model.
For companies evaluating Snohomish County, the key tradeoff is whether its advantages justify its constraints: local submarket conditions need verification and occupation-level hiring depth may vary. A company should compare the county with nearby alternatives before treating the ranking as a final recommendation.
Industry strengths and watch-outs
Education & Research expansions need a county that fits the operating model, not just a high overall score. The current leading county is Fairfax County, but lower-cost, high-talent, and emerging options may be better depending on the company.
Strengths
Exceptional federal contracting ecosystem
Exceptional federal contracting ecosystem is a meaningful advantage for companies evaluating Fairfax County.
Large high-skill workforce
Large high-skill workforce is a meaningful advantage for companies evaluating Fairfax County.
Dulles corridor access
Dulles corridor access is a meaningful advantage for companies evaluating Fairfax County.
Strong technology and cybersecurity base
Strong technology and cybersecurity base is a meaningful advantage for companies evaluating Fairfax County.
Watch-outs
High labor and real estate costs
High labor and real estate costs should be validated with current source data and site-specific diligence.
Tight hiring market
Tight hiring market should be validated with current source data and site-specific diligence.
Competition from Arlington and Loudoun
Competition from Arlington and Loudoun should be validated with current source data and site-specific diligence.
Large-county averages hide submarket differences
Large-county averages hide submarket differences should be validated with current source data and site-specific diligence.
Cost and talent tradeoff
The strongest county for Education & Research is not always the cheapest county. In many cases, higher-cost counties rank well because they offer specialized workers, executive talent, customer access, or an existing ecosystem that reduces go-to-market risk. Lower-cost counties can still be the better choice when a company needs more space, larger teams, simpler operations, or room to grow without paying inner-core premiums.
Decision-makers should separate strategic fit from operating cost. A company serving federal customers may accept a premium for proximity and credibility. A logistics company may prioritize land, road access, and labor availability. A life-sciences firm may need lab infrastructure and scientific talent. A software company may value hybrid-work recruiting reach more than a single office location. The best county depends on the business model.
Risks to consider
Risks include public data lag, county-wide averages that hide submarket variation, incomplete real estate information, and the limits of any screening model. Before making decisions, companies should verify source data, review current commercial real estate listings, speak with local economic development teams, examine utility and permitting conditions, and test whether the desired workforce can be hired at the target wage.
Use this guide as a starting point. It is designed to help users ask better questions, not to replace professional site-selection, legal, financial, real estate, or incentive advice.
FAQ
What counties are best for Education & Research expansion?
Fairfax County, Virginia; Wake County, North Carolina; Los Angeles County, California; San Diego County, California; Snohomish County, Washington currently rank highest for Education & Research in this screening model.
What factors matter most for Education & Research site selection?
Companies should compare workforce depth, specialized talent, wage pressure, facility availability, customer access, infrastructure, and execution risks for Education & Research expansion.
How should companies use this score?
Use the score to build an early short list, then verify occupation-level labor data, real estate, utilities, incentives, permitting, and local operating risks before making a decision.